{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get started\n",
    "In this tutorial we investigate how to solve single-phase flow in PorePy using a two-point flux approximation.<br>\n",
    "Let is $\\Omega$ a regular domain with boundary $\\partial \\Omega$. The boundary can be divided in two non-overlapping parts useful to impose Dirichlet ($\\partial \\Omega_d$) and Neumann ($\\partial \\Omega_n$) boundary conditions. We indicate with $\\mathbf{n}$ the outward unit normal vector of $\\partial \\Omega$.<br>\n",
    "The single-phase flow can be written as\n",
    "$$ - \\nabla \\cdot K \\nabla p = f $$\n",
    "with boundary conditions on $\\partial \\Omega_d$ and $\\partial \\Omega_n$:\n",
    "$$ p = p_b \\qquad - K \\nabla p \\cdot \\mathbf{n} = u_b$$\n",
    "\n",
    "Where $f$ is a scalar source/sink term, $K$ is the permeability matrix, $p_b$ is the pressure at the boundary (Dirichlet condition), and $u_p$ is the flux at the boundary (Neumann condition).<br>\n",
    "\n",
    "We present *step-by-step* how to create the grid, declare the problem data, and finally solve the problem. <br><br>\n",
    "\n",
    "For the example we assume: $\\Omega = [0, 1]^2$, $\\partial \\Omega_d = \\partial \\Omega$, $\\partial \\Omega_n = \\emptyset$, with data: $f = 1$, $K = I$, and $p_b = 0$."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import modules\n",
    "Before creating the grid we need access to the following PorePy modules and classes:\n",
    "* `plot_grid` plots the grid and the solution using Matplotlib;\n",
    "* `tensor` is used to declare the permeability;\n",
    "* `BoundaryCondition` handles the information useful for the boundary conditions.\n",
    "* `Parameters` contains the physical data for the problem.\n",
    "\n",
    "They are all accessed through the `import porepy as pp` statement. We also use the standard python libraries `numpy` and `scipy.sparse`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import scipy.sparse as sps\n",
    "import porepy as pp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creation of the grid\n",
    "We create a Cartesian grid and compute its geometry."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "format": "row"
   },
   "outputs": [],
   "source": [
    "Nx = Ny = 10                                         \n",
    "g = pp.CartGrid([Nx, Ny], [1, 1])\n",
    "g.compute_geometry()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Represent the grid with additional information: \n",
    "* `info='c'` represents cell information, center and id\n",
    "* `info='f'` represents face information, center and id\n",
    "* `info='n'` represents node information, position and id\n",
    "* `info='o'` represents normal information\n",
    "\n",
    "A combination of the options is possible, the order is not important. <br>\n",
    "\n",
    "**Note**: The `info='all'` is equivalent to `info='cfno'`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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oIBERERERkXQ8dJCIiIiIiKgysNEiIiIiIiIyMjZaRERERERERsZGi4iIiIiIyMjYaBER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v3y8NHDhQ+vnnnyWNRiO9/fbb0oIFC6zmOn36dN3n+PXr16UaNWpIqampemurzzU8PFy6ePGi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\nAADAsP8H1g8ej8mwSdAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbefe3a86d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.plot_grid(g, info=\"all\", alpha=0, figsize=(15, 12))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Problem data\n",
    "All the data in PorePy are piecewise constant in their respective domain (cells or faces).<br>\n",
    "The simplest way to create an identity tensor is:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "perm = pp.SecondOrderTensor(g.dim, np.ones(g.num_cells))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, the test case has an heterogeneous permeability tensor $K$ and a constant scalar source term $f$. They can be declared as"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "Omega_1 = g.cell_centers[0, :] < 0.5\n",
    "\n",
    "kxx, kyy, kxy = 1e2*np.ones(g.num_cells), np.ones(g.num_cells), 8*np.ones(g.num_cells)\n",
    "kxx[Omega_1] = np.ones(np.sum(Omega_1))\n",
    "kyy[Omega_1] = 1e2*np.ones(np.sum(Omega_1))\n",
    "perm = pp.SecondOrderTensor(g.dim, kxx=kxx, kyy=kyy, kxy=kxy)                              \n",
    "f = g.cell_volumes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To impose the boundary conditions we need to create an object of class `BoundaryCondition`. Apart from the grid, it needs the list of the boundary faces and a flag indicating the type of boundary condition:\n",
    "* `'dir'` for Dirichlet\n",
    "* `'neu'` for Neumann\n",
    "\n",
    "The value of the boundary conditions is stored in a vector of lenght `g.num_faces`.<br>\n",
    "**Note**: The list of face ids needs to be sorted.<br>\n",
    "**Note**: In the case of mixed boundary conditions only one object is required, the flags need to be ordered according to the second argument of the constructor of `BoundaryCondition`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "b_faces = g.tags['domain_boundary_faces'].nonzero()[0]\n",
    "\n",
    "labels = np.array(['dir']*b_faces.size)\n",
    "labels[g.face_centers[1, b_faces] == 1.] = 'neu'\n",
    "\n",
    "bc = pp.BoundaryCondition(g, b_faces, labels)\n",
    "\n",
    "bc_val = np.zeros(g.num_faces)\n",
    "bottom = b_faces[g.face_centers[1, b_faces] == 0.]\n",
    "bc_val[bottom] = np.ones(bottom.size)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once all the data are created we use the data class to group them. Since we solve a flow problem, we use `'flow'` as key for the problem physics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "param = pp.Parameters(g)\n",
    "param.set_tensor(\"flow\", perm)\n",
    "param.set_bc(\"flow\", bc)\n",
    "param.set_bc_val(\"flow\", bc_val)\n",
    "param.set_source(\"flow\", f)\n",
    "data = {'param': param}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Problem solution\n",
    "PorePy implements a common interface for all numerical schemes: it returns the matrix and the right-hand side given the grid and problem data. <br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "solver = pp.Tpfa(\"flow\")\n",
    "A, b = solver.matrix_rhs(g, data)\n",
    "p = sps.linalg.spsolve(A, b)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`plot_grid` is able to represent piecewise constant solutions, scalar and vector fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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79igrK6vefSrKD+sZe0OMk9XvZrNQtmfT+7U0s1da5jpErXGSbBwMoTZfWL1q\nL3EdQ5J0lVkp6WXXMSRdK2mB6xCSpkh6ynWIWrdK+qnrEJLukpTvOoQk6fDh/Dqfv5MmTdK+ffsk\nSVu2bFFubt1Fcbt3767ly5fHNCOAlkMBgVYrKSlJ6enprmMAQEI69vP31VdfjXw/evRoFRYWRrZn\nzJihV199VYMHD9aGDRtOOI61VrfddpuWLVumtLQ0zZ8/n3U30Hok6BAmJlEDAIAWM3369Ea7D6+9\n9pqKiopUVFSk3/zmN/rOd74Tw3QAokEBAQAAWszXv/71Rm+Fu2TJEt10000yxmjkyJE6cOCA9uzZ\nE8OEwCnyOf5ygAICAAA4U1JSoszMzMh2IBBQSUmJw0QAmkIBAQAAnKlvXR9jjIMkALxKwGkfAAAg\nXgQCAe3atSuyXVxcrN69eztMBJwEJlEDAADEVl5enp5//nlZa1VQUKCMjAz16tXLdSwAjUjAmgkA\nAMTK9ddfr7feekulpaUKBAK6//77VV0dXkry29/+tsaNG6dly5YpOztbaWlpeu655xwnBk5CgnYg\nEvAtAwCAWFm0aFGjzxtj9OSTT8YoDYDmwBAmAAAAAJ7RgQAAAACi5WgtBpfoQAAAAADwjAICAAAA\ngGcMYQIAAACikaB3YaIDAQAAAMCzBKyZAAAAgGZABwIAAAAAGkcBAQAAAMCzBGy6AAAAAM3AiHUg\nAAAAAKAxdCAAAACAaDCJGgAAAAAaRwEBAAAAwLMEbLoAAAAAzSQBr6bpQAAAAADwLAFrJgAAAKAZ\nMIkaAAAAABpHAQEAAADAswRsugAAAADNgJWoAQAAAKBxdCAAAACAaDCJGgAAAAAal4A1ExKBLzlJ\nN5uFrmNICv8jM3tdpwgP0RznOkQtvyTzhesUks9vdJVZ6TpGLZ+ka12HUDjHFNchFP791q2uQ9RK\nknSX6xAK58h3HaJWAg76BhBBAYE2KVRdowU2Hi7GpCnmZdmerlOEi5hlrkPUGiepKsN1CinloNXr\ndrTrGJKky807kl52HUPhImaB6xAKFzFPuQ5R61ZJP3UdQuEiJt91iFr5rgMA8SMBr6YZwgQAAADA\nswSsmQAAAIBmwG1cAQAAAKBxFBAAAAAAPGMIEwAAABAN1oEAAAAAgMZRQAAAAADwLAGbLgAAAEAz\nYAgTAAAAADQuAWsmAAAAoJmwDgQAAAAANIwCAgAAAIBnDGECAAAAosEkagAAAABoXALWTAAAAEAz\noAMBAAAAAI2jgAAAAADgWQI2XQAAAIBmwBAmAAAAAGhcAtZMAAAAQDNhJWqg5ZSVlSkYDLqOAQAA\ngFNAAYGYSU5OVlVVldauXausCF1YAAAgAElEQVSKigrXcQAAABAFhjAhZtq3b6+0tDSdccYZ2rhx\nozp27ChrretYAAAA0WESNRAbnTt31ogRI9SlSxcdOnRI27ZtUygUch0LAAAAHiRgzYR4YIxRr169\ntG3bNhljVFBQoKysLNexAAAAvKMDAcSeMUb9+/fX8OHDtX//fh06dEj79+93HQsAAAANSMCaCfEo\nJSVFOTk52rdvn7Zt2yafz6cBAwa4jgUAAIDjUEAgriQlJem8885TaWmp1q9fr8rKSlVXVys5Odl1\nNAAAgBOxDgQQH7p3766RI0cqKSlJq1ev1s6dO1VTU+M6FgAAQMKjgEDcMsYoJSVF559/vo4cOaKC\nggIFg0Fu/QoAAOAQBQTint/v15lnnqlhw4apurpahYWFKi8vdx0LAAAkuqN3YXL55QBzINBqpKam\nqn379howYID+9a9/6csvv9TGjRtdxwKAhFTf5296erqDJABijQICrU5GRoZyc3P17rvv6vTTT693\nH1+y0RTzcoyT1c8vyex1nSI8x2uc6xC1/JJSDrpOIfn8Rpebd1zHqOWTdK3rEArnmOI6hMIN8ltd\nh6iVJOku1yEUzpHvOkStpDqfv9dff72++OILGWO0ZcsW5ebm1tm7e/fuWr58eaxDAi0vQdeBSMC3\njLbAGKOkpCR17Nix3udD1VZL7OUxTlW/q83rqspwnSJ8wb7UdYhaeZIOx8EvKtMOWb1jz3MdQ5I0\n2qxVfPwN5Ula4DqEwkXMU65D1LpV0k9dh1C4iMl3HaJWfp3P31dffTXy/ejRo1VYWFhn7+XLl2vg\nwIEKhUKaOXOm7r777jrP79y5U9OmTdOBAwcUCoX0k5/8ROPGxcuvPAAcjzkQAACgxYRCIc2ePVuv\nvfaaNm3apEWLFmnTpk119nnggQc0ceJErVu3TosXL9att8ZL9wlAfehAAACAFrN69WplZ2crKytL\nkjR58mQtWbJEOTk5kX2MMSorK5MkHTx4UL1793aSFThpDGECAABoXiUlJcrMzIxsBwIBvf/++3X2\nyc/P1+WXX65f/epXOnTokFasWBHrmABOAkOYAABAi6lv7R5jTJ3tRYsWafr06SouLtayZcs0depU\nFg9Fq2F9br9coIAAAAAtJhAIaNeuXZHt4uLiE4YoPfPMM5o4caIk6YILLlBlZaVKS0tjmhOAdxQQ\nAACgxQwfPlxFRUXavn27qqqqtHjxYuXl5dXZ5/TTT9fKlSslSZs3b1ZlZaV69OjhIi4AD5gDAQAA\nWozf79e8efM0duxYhUIhzZgxQ4MGDdKcOXOUm5urvLw8Pfroo5o1a5Yef/xxGWM0f/78E4Y5AfHI\nGimUgFfTCfiWAQBALI0bN+6EdR3mzp0b+T4nJ0fvvvturGMBiBIFBAAAABCNBO1AMAcCAAAAgGcU\nEAAAAAA8S8CmCwAAAHDqrJGCPte/j4/9mimu3zEAAACAVoQOBAAAABAFa4xCfteX01Uxf0U6EAAA\nAAA8o4AAAAAA4JnrngsAAADQaoV8PtcRYo4OBAAAAADP6EAAAAAAUbAyCokOBAAAAAA0iAICAAAA\ngGcMYQIAAACiYGUUZAgTAAAAADSMAgIAAACAZwxhAgAAAKIUSsDLaToQAAAAADxLvJIJAAAAaAas\nAwEAAAAATaCAAAAAAOAZQ5gAAACAKDCECQAAAACaQAcCbZIv2ehq87rrGJLC/8hSDrpOIfkk5bkO\nUcsvKe2Q6xSSzy+NNmtdx6gVL39DPklTXIdQ+Pdbt7oOUStJ0l2uQyicI991iFqJ9xtXoCGJ2IGg\ngECbFKq2esee5zqGpPAF6sFU1ymkjErpZdchal0r6Ys4+PTpFpQ2276uY0iSzjafSFrqOobCRcwC\n1yEULmKech2i1q2Sfuo6hMJFTL7rELXyXQcA4BBDmAAAAAB4Fge/AwQAAABaHyujYAIOYaIDAQAA\nAMAzOhAAAABAFMK3cU28y2k6EAAAAAA8o4AAAAAA2ihjzBXGmI+MMR8bY+5uYJ+JxphNxpiNxpiF\nTR0z8XouAAAAQDOJ53UgjDE+SU9KukxSsaQ1xpil1tpNx+xzpqR7JI2y1u43xvRs6rh0IAAAAIC2\naYSkj62126y1VZIWS7r6uH1mSXrSWrtfkqy1e5s6KB0IAAAAIArhSdTx24GQ1EfSrmO2iyWdf9w+\nAyTJGPOuwsvM51trlzd2UAoIAAAAoPXqbowpPGb7N9ba39R+b+rZ3x637Zd0pqQxkgKS/m6MGWyt\nPdDQC1JAAAAAAK1XqbU2t4HniiVlHrMdkLS7nn0KrLXVkrYbYz5SuKBY09ALUkAAAAAAUbBSvK9E\nvUbSmcaY/pJKJE2WdMNx+7wi6XpJ840x3RUe0rStsYMyiRoAAABog6y1QUnflfQXSZslvWit3WiM\nmWuMyavd7S+SvjDGbJL0pqQ7rLVfNHZcOhAAAABAVOJ/JWpr7TJJy457bM4x31tJP6j98oQOBAAA\nAADPKCAAAAAAeBbfPRcAAAAgTrWCdSBaBB0IAAAAAJ5RQAAAAADwjCFMAAAAQJQYwgQAAAAAjaAD\nAQAAAESBSdQAAAAA0AQKCAAAAACeMYQJAAAAiIKVUZAhTAAAAADQMDoQAAAAQJRCCXg5TQcCMVNV\nVaWamhpZa11HAQAAQJQSr2SCM5WVlaqsrNR7770nv9+vTp06qaqqSmVlZerQoYOSkqhnAQAA4h0F\nBGKmU6dOSktL04UXXqjq6mqVl5frs88+0yeffKKKigpZa/Xll19q+/bt6tSpkzp27Og6MgAAQIMS\ndR0ICgg4kZycrK5duyolJUXnnHOOJKmmpkbvvvuuUlJStHfvXm3dulUVFRVau3ZtpKBgCBQAAIBb\nFBCIG0lJSfL5fOrTp4/69OkjSXrvvfeUk5Oj8vJylZWV1RkCVVlZqc2bNztODQCJqb7P3/T0dAdJ\nAHfoQABxqn379mrfvr169uypvXv36sILL1RVVZUKCgrUu3fvev+MP9lotFkb46T180vKqHSdQvJJ\nutZ1iFp+Sd2CrlNIPr90tvnEdYxaPkl5rkMonGOK6xAK3+PjVtchaiVJust1CIVz5LsOUSupzufv\nDTfcoH379skYoy1btig3N7fO3t27d9fy5ctjHRJAC6GAQKuUnJwsn8+njIyMep8PVltts71inKp+\nWWaPil2HkBSQtNh1iFqTJW13HUJS/6B0MJjiOoYkKcNfJWmZ6xiSxik+flImS3radYhasyQ96jqE\npB8qfgqI/Dqfv3/+858j348ePVqFhYV19l6+fLkGDhyoUCikmTNn6u677z7hiC+++KLy8/NljNHQ\noUO1cOHClosP4JRQQAAAgBYTCoU0e/ZsvfHGGwoEAho+fLjy8vKUk5MT2aeoqEgPP/yw3n33XXXp\n0kV79+51mBg4OaxEDQAA0IxWr16t7OxsZWVlKSUlRZMnT9aSJUvq7PP0009r9uzZ6tKliySpZ8+e\nLqIC8IgOBAAAaDElJSXKzMyMbAcCAb3//vt19tmyZYskadSoUQqFQsrPz9cVV1wR05xANMKTqBPv\ncjrx3jEAAIiZ+m69bYypsx0MBlVUVKS33npLxcXF+trXvqYNGzaoc+fOsYoJ4CQwhAkAALSYQCCg\nXbt2RbaLi4tPuINeIBDQ1VdfreTkZPXv318DBw5UUVFRrKMC8IgCAgAAtJjhw4erqKhI27dvV1VV\nlRYvXqy8vLq3LL7mmmv05ptvSpJKS0u1ZcsWZWVluYgLnJSj60C4/HKBAgIAALQYv9+vefPmaezY\nsTr77LM1ceJEDRo0SHPmzNHSpUslSWPHjlW3bt2Uk5Ojiy66SI888oi6devmODmAhjAHAgAAtKhx\n48Zp3LhxdR6bO3du5HtjjB577DE99thjsY4GIAoUEAAAAECUXA0jcokhTAAAAAA8owMBAAAARMHK\nsBI1AAAAADSGAgIAAACAZwxhAgAAAKIQXgci8S6n6UAAAAAA8CzxSiYAAACgmXAbVwAAAABoBAUE\nAAAAAM8YwgQAAABEITyJmiFMAAAAANAgOhAAAABAFOhAAAAAAEATKCAAAAAAeMYQJgAAACBKQYYw\nAQAAAEDD6EAAAAAAUQhPok68y2k6EAAAAAA8o4AAAAAA4Fni9VwAAACAZsA6EAAAAHHqvvvu0y9/\n+cvI9o9//GM98cQTDhMBiYsOBAAAiHs333yzvvnNb+q2225TTU2NFi9erNWrV7uOBSRkB4ICAm2S\nP1nKMntcx5AU/kcWcB1Ckk/SZNchavkl9XcdQpLfL2X4q1zHqOWTNM51CMXPT0qSpFmuQ9RKkvRD\n1yEUzpHvOkSt2F8w9evXT926ddO6dev02Wef6dxzz1W3bt1ingMABQTaqGC1VPOF6xRhSd2kTa5D\nSMqR9JzrELW+JWm96xCShgYlu9l1ijBzdkjSG65jSLpM0mLXIRQuYp52HaLWLEmPug6hcBGT7zpE\nrXwnrzpz5kzNnz9fn376qWbMmOEkAwAKCAAA0EqMHz9ec+bMUXV1tRYuXOg6DiArk5ArUVNAAACA\nViElJUUXXXSROnfuLJ8v8S7agHhBAQEAAFqFmpoaFRQU6A9/+IPrKEBCo4AAAABxb9OmTbrqqqs0\nfvx4nXnmma7jAJKOrgOReJfTifeOAQBAq5OTk6Nt27a5jgFAFBAAAABA1BJxHQhWogYAAADgGQUE\nAAAAAM8YwgQAAABEITyJmiFMAAAAANAgOhAAAABAlOhAAAAAAEAjKCAAAAAAeMYQJgAAACAKVkZB\nhjABAAAAQMPoQAAAAABRCN/GNfEup+lAAAAAAPCMAgIAAACAZ4nXcwEAAACaCetAAAAAAEAj6EAA\nAAAAUQhPoqYDAQAAAAANooAAAAAA4BlDmAAAAIAosBI1AAAAADSBDgQAAAAQJVaiBgAAAIBGUEAA\nAAAA8Czxei4AAABAM2AdCAAAAABoAgUEAAAAAM8YwoRWxVqr/fv3q6ysTEeOHNFHH33kOhIAJKT6\nPn/T0tIcJAHcSdQhTBQQiEvWWh05ckTBYFBbt25VeXm5Dh06pMOHD2v37t3q2LGj/H6/evbsWe+f\nT/ZLSd1iHLoBPkk5rkMo3G78lusQtXyShroOIcnvk8zZrlMc5ZN0mesQCueY7DqEwj+xs1yHqJUk\n6YeuQyicI991iFpJdT5/b7zxRu3fv1+SVFRUpNzc3Dp7W2tVUVGhUCikmTNn6u677673qC+99JKu\nu+46rVmz5oRjAIgfFBBwrqamRocPH1ZZWZkqKyu1Zs0aVVVVqV27dgoGg0pLS9Npp52m9PR0rVq1\nSoMGDZK1Vrt27VKXLl3qPWZ1ULJ/ifEbaYAZK73jOoSk0ZKedh2i1ixJb7oOIemikGQXuU4RZq4P\nKU7OiqSXXYeQdK2k51yHqPUtSY+6DqFwEZPvOkSt/Dqfv8uWLYt8P3r0aBUWFka2Q6GQBgwYoDfe\neEOBQEDDhw9XXl6ecnLq/mqlvLxcTzzxhM4///yWjw80o0TsQDAHAjF1dAjSzp07tWHDBh06dEgF\nBQXaunWrKisr5ff7NWTIEI0aNUq5ublKTU1Vr1691KFDBxljXMcHAJyk1atXKzs7W1lZWUpJSdHk\nyZO1ZMmSE/a77777dOeddyo1NdVBSgAngwICMfPFF19EhiAZYxQIBJSWlqYLL7xQQ4cOVVZWlvx+\nv9q1a+c6KgCgmZSUlCgzMzOyHQgEVFJSUmefdevWadeuXbrqqqtiHQ9AFBjChJjp1q2b0tPTNWjQ\noMhjdBUAoG2z1p7w2LGf/TU1Nbr99ts1f/78GKYCmoeVUZAhTAAAAM0nEAho165dke3i4mL17t07\nsl1eXq4NGzZozJgx6tevnwoKCpSXl1dnHgWA+EIHAgAAtJjhw4erqKhI27dvV58+fbR48WItXLgw\n8nxGRoZKS0sj22PGjNHPf/5z7sKEViF8G9fEu5ymAwEAAFqM3+/XvHnzNHbsWJ199tmaOHGiBg0a\npDlz5mjp0qWu4wGIQuKVTAAAIKbGjRuncePG1Xls7ty59e771ltvxSARgFNBAQEAAABEiXUgAAAA\nAKARdCAAAACAKIQnUdOBAAAAAIAGUUAAAAAA8IwhTAAAAEAUWIkaAAAAAJpABwIAAACIEitRAwAA\nAEAjKCAAAAAAeJZ4PRcAAACgGbAOBAAAAAA0gQICAAAAgGcMYQIAAACiwBAmAAAAAGgCHQgAAAAg\nSqxEDQAAAACNoIAAAAAA4BlDmAAAAIAohCdRJ97lNB0IAAAAAJ4lXskEAAAANANu4woAAAAATaCA\nAAAAAOAZQ5gAAACAKCXiECYKCLRJyT7JjHWdIswnabTrEAq3G2e5DlHLJ+ki1yEk+ZMkc73rFEfF\ny1nxSbrWdQiFf2K/5TpErSRJP3QdQuEc+a5D1Eq8CyYA/0YBgTapOiTZOa5ThJm50lLXISTlSXrC\ndYha35P0susQkq6tkextrlOEmV+GJL3jOobC5W68/MQucB2i1hTFx7+e7yl+Coh81wGAuMAkagAA\nAABoAgUEAAAAAM8YwgQAAABEwUoKMoQJAAAAQFthjLnCGPORMeZjY8zdjew3wRhjjTG5TR2TDgQA\nAAAQFaNQHF9OG2N8kp6UdJmkYklrjDFLrbWbjtuvo8J3anjfy3HpQAAAAABt0whJH1trt1lrqyQt\nlnR1Pfv9j6SfSar0clAKCAAAAKD16m6MKTzm67+Oea6PpF3HbBfXPhZhjDlXUqa19lWvLxi/PRcA\nAAAgjsXJOhCl1tqG5i2Yeh6zkSeNSZL0uKTpJ/OCdCAAAACAtqlYUuYx2wFJu4/Z7ihpsKS3jDE7\nJI2UtLSpidR0IAAAAIAoxUEHojFrJJ1pjOkvqUTSZEk3HH3SWntQUvej28aYtyT9f9bawsYOSgcC\nAAAAaIOstUFJ35X0F0mbJb1ord1ojJlrjMmL9rh0IAAAAIA2ylq7TNKy4x6b08C+Y7wckwICAAAA\niIKVYSVqAAAAAGgMBQQAAAAAzxjCBAAAAEQhvA5E4l1O04EAAAAA4FnilUwAAABAM4nzdSBaBB0I\nAAAAAJ5RQAAAAADwjCFMAAAAQBTCk6gZwgQAAAAADaIDAQAAAETByihUQwcCAAAAABpEAQEAAADA\nM4YwAQAAANGwUjDIECYAAAAAaBAdCAAAACAK1hqFgol3OU0HAgAAAIBnFBAAAAAAPEu8ngsAAADQ\nDMJDmBJvEjUFBFqlw4cP68iRIyoqKnIdBQASUn2fv+3bt3eQBECsUUCgVbHW6l//+pf2798vn8+n\nrl271rtfcpJk5sY4XAN8kvJch1B4vOL3XIeo5ZN0resQkvxGMr90neIon6TRrkMofn5ifZKmuA5R\nK17+9SRJyncdolZSnc/fqVOnat++fTLGqKioSLm5uXX2ttaqoqJCoVBIM2fO1N13313n+ccee0y/\n/e1v5ff71aNHDz377LPq27dvTN4JcEqs6EAA8aqmpka7du3SoUOH1LdvXw0YMECrVq1St27d6t2/\nukayufU+FXOmUHradQhJsyT91HWIWncpTs6JlezZrlOEmc0hSVtcx5A0QFKB6xCSRkpa6jpErTzF\nyU+spAdch6h1b53P32XLlkW+Hz16tAoLCyPboVBIAwYM0BtvvKFAIKDhw4crLy9POTk5kX3OPfdc\nFRYWKi0tTb/+9a9155136oUXXojNWwFw0phEjbi3d+9eFRQUqLq6Wunp6QoEAjLGuI4FAPBg9erV\nys7OVlZWllJSUjR58mQtWbKkzj4XXXSR0tLSJEkjR45UcXGxi6gAPKIDgbhVVlamQ4cO6bPPPtOw\nYcOUmpqqvXv3uo4FADgJJSUlyszMjGwHAgG9//77De7/zDPP6Morr4xFNOCUWWsUrGYIE+BcZWWl\nioqKVFlZqdTUVJ1zzjmuIwEAomStPeGxhrrICxYsUGFhod5+++2WjgXgFFBAIG4Eg0EdOXJE//jH\nP5Sdna0ePXpo1apVrmMBAE5BIBDQrl27ItvFxcXq3bv3CfutWLFCDz74oN5++221a9culhGBU2BU\nE0q8y+nEe8eIO9ZalZSU6JNPPpExRiNHjlRSEtNzAKAtGD58uIqKirR9+3b16dNHixcv1sKFC+vs\ns27dOt1yyy1avny5evbs6SgpAK+4SoNTwWBQBQUFqqio0IgRI5SSkkLxAABtiN/v17x58zR27Fid\nffbZmjhxogYNGqQ5c+Zo6dLwnbbuuOMOVVRU6LrrrtNXv/pV5eXFw62EATSEDgScOHTokD766CNV\nVVUpNzc3cvcNAEDbM27cOI0bN67OY3Pn/nuxnhUrVsQ6EtA8rCTWgQBalrVWmzdv1sGDBzVw4EBV\nVlZSPAAAALQiFBCImX379unQoUPq37+/zjrrLNZyAAAAaIUoIBAznTp1Unp6er133wAAAGh1rEnI\nIUzMVkXM+P1+ug4AAACtHB0IAAAAIBpWUjDxfjlKBwIAAACAZxQQAAAAADxjCBMAAAAQraDrALFH\nBwIAAACAZ3QgAAAAgGhY0YEAAAAAgMZQQAAAAADwjCFMAAAAQDQYwgQAAAAAjaMDAQAAAETDSqp2\nHSL26EAAAAAA8IwCAgAAAIBnDGECAAAAomElhVyHiD06EAAAAAA8owMBAAAARIvbuAIAAABAwygg\nAAAAAHjGECYAAAAgGqxEDQAAAACNowMBAAAARCNBOxAUEGiTko1kCl2nCEuSNMt1CIVz3OU6RK14\nOSd+SWaz6xRH+SQNcB1C4RwjXYdQOEee6xC14uUnNknSva5D1PK5DgDAIQoItEnVVnrDdYhal0l6\nwHUIhS878l2HqJWv+DknS12HqJWnkHSPdR1DethI18dBjkVGOjcOckjSOqPwrxldM5Jedh2i1rWu\nAwBwiAICAAAAiEaCDmFiEjUAAAAAzyggAAAAAHjGECYAAAAgGgxhAgAAAIDG0YEAAAAAokUHAgAA\nAAAaRgEBAAAAwDOGMAEAAADRsJKqXYeIPToQAAAAADyjAwEAAABEw0oKuQ4Re3QgAAAAAHhGAQEA\nAADAM4YwAQAAANFgJWoAAAAAaBwdCAAAACAadCAAAAAAoHEUEAAAAAA8YwgTAAAAEA2GMAEAAABA\n4+hAAAAAANGiAwEAAAAADaOAAAAAAOAZQ5gAAACAaDCJGgAAAAAaRwEBAAAAwDOGMAEAAADRYAgT\nAAAAADSODgQAAAAQDSup2nWI2KMDAQAAAMAzOhBolf7/9u4+OKr63uP45+Q5JDwsEAi4EkhCgACh\nQAL4jJ3aerET215FSgs61Gk79s60djpq7YW5dca5nau21XrrOEVLtQOxpjMFW+GOolCKqJAgRYgk\ngUDY0BhCSEzIwz6c3/2DJs3DZlm2Zc/BvF8zmWH3HDbfcway+833+/39gsGg/H6/jh8/7nQoADAi\nhfv5m56e7kAkAOKNBAJXHb/fr8rKSknSmDFjwp6TmZ6u27q64hnWsBIl/afTQehiufG/nA7i7xLk\njnuSKKnU6SB6JSRL/205HcXFOLa4IA4rWTrogjgkScmS3BBLoqR/dzoISVJGxpgBP3/Xrl2r8+fP\ny7Is1dTUqLi4eMD5xhh1dHQoFArp/vvv1yOPPDLgeE9Pj9auXauKigpNmDBBr7zyiqZPnx6PSwH+\nOUZSyOkg4o8EAlcV27ZVUVGhvLw81dTUKCsrK+x5W//4Ry1btizO0blXIBDQoUOHhrypj2QtLS1q\nbm5WQUGB06G4xsmTJ5WamqopU6Y4HYprHD58WLm5ucrIyHA6FNd49913h/x83b59e9+fb7zxRh04\ncKDvcSgUUkFBgd544w15vV6VlJSotLRUhYWFfee88MIL8ng8qq2tVVlZmR5++GG98sorV/5iAMSE\nGQhcNTo7O9XZ2anZs2cPmzgAANzl/fffV35+vnJzc5WSkqJVq1Zp69atA87ZunWr7r33XknSXXfd\npZ07d8oY40S4wOULOvzlABIIXBXa29t18OBBpaeny+PxOB0OACBKDQ0Nuvbaa/see71eNTQ0DHtO\nUlKSxo4dq3PnzsU1TgDRI4GA67W2tuqvf/2rFixYoMTERKfDAQBchnCVBMuyLvscAO7BDARcLRgM\n6ujRo1q0aBGrewDAVcjr9er06dN9j30+n6ZOnRr2HK/Xq2AwqLa2No0fPz7eoQKXb4TuRE0CAdf6\n+OOP1dPTo6VLlyo1NTXsOYHA0N1bjDEKhUJhj41UgUBAxhjuST/BYJB/J4PYts09GcS2bfn9fqWk\npDgdimsYY9Td3R22Irx582b5/f4Bz5WUlKimpkZ1dXW65pprVFZWps2bNw84p7S0VL/5zW903XXX\nqby8XJ/97GepQAAuRgIBV2poaJDP59OoUaPCJg/GGCUkJAxY6aP3+Z6enrDHRrLeN3TuyT/0JlWt\nra1Oh+Iavfek/2+LR7pAIKAPPvhAaWlpTofiGoFAQO+8847S0tL6PuQ/8sgj+uSTTxQKhdTc3Kyi\noqIBSVdiYqLmzZun7OxsrVu3TnPnztWGDRtUXFys0tJSfeMb39CaNWuUn5+v8ePHq6yszKnLAy4P\nFQjAHU6dOqWzZ8+quLhY77333pDjtm0rGAxq8eLFA543xqiqqkpZWVnKzc2NV7iu19XVpQ8//FCL\nFy9WQgJjT72OHTumyZMna9y4cU6H4hqdnZ06fvy45s+f73QormGM0QcffKD8/HyNHj3a6XBcw+fz\nqaWlRfPmzVNCQoLeeuutvmN79uzRo48+qvLy8oh7OTz22GN9f05LS9Orr756JUMG8C/Epwm4Rm/1\n4Pz581q0aNGwA9PB4NBU3xijjz76SKmpqZoxY8aVDvWqUltbq7y8PJKHQTo6OpSZmel0GK6Snp6u\nLpdswOgWlmVp5syZqqmpYVnRfrxerzwej44cOSLbtgccu+mmm/TEE0+otLQ07G7VAK5+fKKAK/Qm\nALZta8GCBWE/7Nq2HXso+VAAABJmSURBVPYN3BijY8eOKTk5Wbm5ufTN9tPS0iLLshhGHKS31z8p\niSJsf5ZlKSkpiRmIQTIzM5WZmamPP/7Y6VBc5dprr9XYsWPDJhHLli3TM888oy996Uuqrq52KEIg\nDoykgMNfDuDdE46zbVtHjhxRcnKy0tPTwyYAvW1LiYmJ2r9//4Bj3d3dki6WwOnx/wdjjDo7O5We\nnj7kno10oVBIfr+f+xJGd3e3Dhw4QHI1iDFGZ86cUX19Pb+kGMTv9+svf/nLkJmItrY22bat66+/\nXpMnTx6wkt7EiRO1Y8cOp0IG8E/iHQKOO3TokMaMGaPc3Fzt27dvyHHbthUIBGRZlhYtWtT3vDFG\nNTU1GjdunPLz83lTH6S+vl6hUIiWrjD+9re/KRAIaNq0aU6H4jqNjY3q6elRTk6O06G4zpkzZ9TZ\n2an8/HynQ3GdU6dOqaOjQ4WFhbIsSzt37uw79uGHH+qb3/ymNm7cqM985jMORglcAUZSyOkg4o8W\nJjgmGAyqs7NTEyZMUF5e3rAJQDAYDLvpUG1trSSRPITR09OjxsZGPiAPo729nYHYYYwePVrt7e1O\nh+FKU6ZMUVtbmy5cuOB0KK6Tk5OjjIwMVVVVDWk1nTdvnl588UWtWbOGKjHwKUEFAo4IBAKqrKxU\ncnLysB9ybdtWQkJC2DaTnp4eGWNoWxpGV1eXkpOTVVlZ6XQortTZ2anW1lYSz2FcuHCB9q5hhEIh\nHThwQKNGjXI6FFfq6enRnj17BrQr9W9nuv3225WVlaWMjIwBf4+WJuDqQgKBuOvp6VFlZaXy8vL6\nqgiDhUIhhUKhAS1L0sXKw4kTJxQIBDRr1iw+AIbR1tamkydPqqioiPsThjFG+/fv15IlS5wOxbUq\nKipUVFSk5ORkp0NxpaqqKk2cOFFZWVlOh+I6xhjV1dWpp6dHs2fPHtLOdOLECa1Zs0ZPP/20brjh\nBgcjBf6FRuA+ELQwIa5s21ZFRYUKCgo0adKksOf0Jg/h1NXVye/3kzwMo3cuZObMmdyfYXR2dvLb\n40sYPXq0Ojo6nA7DtfLy8lRXVzfsz6mRzLIszZgxQykpKTp27NiQdqbc3Fxt3rxZDzzwgHbt2uVM\nkAD+aSQQiJuOjg51dnZq7ty5mjBhwpDjxhgZYyImD93d3X2/1cJQZ86ckcfj4QNyBMw/XBpzEJGl\npKRoypQpqq+vdzoUV7IsS7m5uUpKSlJ1dfWQJCInJ0dlZWV68MEH9cYbbzgUJfAv0rsTtZNfDqCF\nCXETCoWUnp6usWPHDjlmjJFt22GXaZUutj3Ztq309HRmHobRu2zrqFGj1NLS4nQ4rtXd3a2kpCQ1\nNTU5HYpr9S5zy74Hw+v9/9bU1MQmjRF0d3erqalJaWlpfc/1zkQYY7R69WqNGzduyPsCMxGAu5FA\nIG7Gjh0bdnfp3uQh3MyDNHR5QIR37Ngx5eTkaPLkyU6H4mqVlZWaP38+/f0R2LatAwcOqKSkxOlQ\nXO38+fPy+XyaP3++06G4Vm9bpWVZfSvm9Z+JOHv2rFauXKn169frzjvvdDBSAJeDX5vAcb3JQzj1\n9fVqb2/XnDlzSB4iaG9vV2dn57BzJbjIGKNgMEjycAkJCQlKTExUMDgCJwMvg8fjkWVZOnfunNOh\nuJZlWZo5c6Zs29ZLL72kRYsWacGCBfrpT38qScrKylJ5ebkef/xxbdmyRffcc4/y8/O1dOlSnTx5\n0tnggWiM0J2oSSDgmEvNPJw+fVptbW0qLCykRSACBqej19XVNWB5SQwvMzOTQeoo5Ofn68SJE7Jt\n2+lQXMuyLOXl5eknP/mJfvazn+n9999XeXm5PvroI0nShAkTVF5erkcffVTnzp1TbW2tHnzwQT38\n8MMORw5gOLQwwRG9icNwMw9+v1+hUEhpaWmqqKhwIMKrRyAQUCgUUlVVldOhuF4gEJBt2+xxEIVA\nIKDm5malpKQ4HYrr9fT0aN++fdyrCI4cOaIpU6b07e2zdOlSPf/881q9enXfTERTU5NaW1s1Y8YM\njR8/XocOHVJxcbEkZiIAtyGBQNz1Jg+2bYedefD5fGppadG8efOoPFxCMBhUZWWlSkpKaMuJQm1t\nrTweT9hVwDBQe3u7Tp8+rcLCQqdDcb3emZGioiKlpqY6HY4rNTQ0qLCwUDfeeKOqqqoUCAS0detW\nvfXWW7r33nv1/e9/X0uXLtVLL72kH/zgB5o0aZIOHz6srq4uZWdn6/nnn3f6EoDwjKQRuKIzn84Q\nd73JQzgNDQ06d+4cyUOUTp48Ka/XS/IQJZZwjV5GRoYuXLjgdBhXhYSEBOXm5g67MSbUt5SrZVkq\nKCjQa6+9pptuukn79+/va2cyxigzM1NlZWWqra3VmDFjtHv3bt1111166KGHHL4CAP1RgUDc2LYt\n27YVCISf+GlqatLZs2c1d+7ciLMRuKirq0utra2aPn069yoKxhj5/X4lJiZyvy5D7z1DZB6PRz6f\nT+fPn9eYMWOcDsd1srOz5fP5FAqFtH//fnk8Hnm9XjU2NurLX/6yXnvtNU2dOlX19fXKzs7W1q1b\nlZeXp5dfflnLly/Xb3/7W6cvAQivdx+IEcYavMHLJVzWyUB/gUBA+/btG/bDm23bsiyLQeDLYIzh\nfl0G7tfl4X5dnv6/ZcdAoVBIa9eu1ZNPPqmqqio9/fTT+vnPf66cnBy9+eabqqqqUk5Ojurq6tTY\n2Cifz6f29nZlZWWpo6NDycnJmjJlSt/rMRMxIlwV/5GsCcVGdzi8P9XLVoUxpjie35IKBOImOTlZ\nN998s9NhAAAcsHHjRn3ve99TW1ubCgoKtG7dOm3YsEHd3d2ybVvbt2/XmTNnlJqaqry8PJWVlemd\nd97Rs88+q927dys1NVXl5eW6++67WQgBcBhN5gAA4IpbsWKFqqur9Yc//KFvIYPHHntMEydO1N69\ne7Vjxw61tLTI6/Vq06ZNOnHihB5//HFt27ZNqampam9v1zPPPKOlS5c6fCXAIEGHvxxAAgEAAOKm\npKRENTU1qqurk9/v169//WvNnj1bubm5SklJ0apVq/Tcc8/pW9/6lrZt29a3Qeb69ev10EMPKS0t\nzeErAEALEwAAiJukpCQ9++yz+sIXvqBQKKQlS5YoIyNDGzZsUHFxsbxer375y1/K7/fr7rvvliSN\nHTtWEydO1Be/+EU9+eSTDl8B0E/vTtQjDBUIAAAQV73tTMePH9dXvvIVSRfbmUpLSyVJCxcu1Lhx\n49TR0aF77rlHlmXpqaeeGvAav/vd71RYWKi5c+dq9erVcb8GYCSjAgEAABzj9Xp1+vTpvsf19fXa\nu3ev9u/fL6/Xq0WLFsnn82n58uWSpMbGRq1YsUIej0fvvvuuPB6PmpqaHIoeGJlIIAAAgGP6z0Rc\nc801A2YiJOlrX/uaJOmHP/yhJGn58uWaNm2abr75Znk8Hknqm5MA4o6dqAEAAOKr/0zEnDlzVFJS\nojlz5mjDhg3atm2bvF6vGhoaBvyd+vp6VVdX64YbbtCyZcvYEwKIMxIIAADgqEvNRFiWpR07dmjW\nrFny+XxqbGxUTU2Ndu3apS1btuj+++/X4cOHdeutt2rhwoUqKirS66+/7uQlYaTo3YmaZVwBAACc\nMXgmwufzKTs7W9/5zne0fft2HT16VGfPnlVxcbGSk5M1Y8YMzZo1Sxs2bNDKlSt18OBBlZWV6YEH\nHnDwKgD3sCzrdsuyjlmWVWtZ1iNhjn/fsqyjlmX91bKsnZZl5VzqNUkgAACAawzeJ6KsrEzTp09X\nfn5+314RpaWl+v3vfy9Jam5uVnV1tcaMGaNPPvlEktTW1qapU6c6eRmAK1iWlSjpfyX9m6RCSV+1\nLKtw0GkHJRUbY4oklUv6n0u9LkPUAADANQbvE7Fu3TqlpqaqqalJ27ZtU2lpqW699VYdPHhQhYWF\nSkxM1BNPPKFbbrlFn//85/WLX/xCFy5c0Jtvvun0pWAk6G1hcq8lkmqNMSckybKsMkl3Sjrae4Ix\n5u1+578r6euXelEqEAAAwFX6z0T86Ec/kjFGixcv7puJ2Lhxo6qrq5WQkKDDhw9r1apV2rJli+67\n7z75fD796U9/0m233ab8/HwVFRWpsrLS4SsCrqiJlmUd6Pf1zX7HrpF0ut9j39+fG843JG2/1Dek\nAgEAAFxt8FzE7NmzVVRUpF27dvU998ILL/StxtTa2qqOjg5lZ2erq6tL1113na6//nq9/fbbg18a\n+Oe4YyfqZmNM8TDHrDDPmbAnWtbXJRVLuuVS35AKBAAAcLXBcxHvvfdeXzWi17Rp07Rz505J0qZN\nm5SRkaEjR47o6NGjSkxM1H333edA5IDjfJKu7ffYK+nM4JMsy/qcpB9JKjXG9FzqRUkgAACAqw3e\nK2LlypUqKCjom4uQpKeeekq/+tWvtGDBAu3YsUPr16+XZVn67ne/q8mTJ2vu3LkOXwXgiP2SZlqW\nNcOyrBRJqyRt63+CZVkLJT2vi8lDVNu608IEAABcb8WKFVqxYkXf45MnT2rSpEl9lYjCwkLt3btX\nknTHHXdoyZIl2rRpk06dOqXc3FxZVrhODuBfwMU7URtjgpZl/Yek/5OUKOlFY8wRy7Iek3TAGLNN\n0hOSMiW9+vf/J/XGmNJhX1QkEAAA4FPG6/Vq9+7d2rJli/bs2aNly5axrCtGLGPM65JeH/Tchn5/\n/tzlviYtTAAA4FOltLRUzz33nM6dO6clS5bo9OnTWr9+vdNh4dNohO5ETQUCAABcVb761a9q165d\nam5ultfr1Y9//GMFAheXwvn2t7+tFStW6M4779SOHTuUlpamP//5zyouHm6RGgCXyzIm7EpOw7ms\nkwEAAIAYXBVDK9boYqOFB5wNYo9VEWEZ1yuCCgQAAAAQC/fvRH1FMAMBAAAAIGokEAAAAACiRgsT\nAAAAEAsjKeB0EPFHBQIAAABA1KhAAAAAALEwcvVO1FcKFQgAAAAAUSOBAAAAABA1WpgAAACAWLEP\nBAAAAAAMjwoEAAAAEAt2ogYAAACAyEggAAAAAESNFiYAAAAgFuxEDQAAAACRUYEAAAAAYsFO1AAA\nAAAQGQkEAAAAgKjRwgQAAADEgn0gAAAAACAyKhAAAABArKhAAAAAAMDwSCAAAAAARI0WJgAAACAW\n7EQNAAAAAJGRQAAAAACIGi1MAAAAQCyMpJDTQcQfFQgAAAAAUaMCAQAAAMSCnagBAAAAIDISCAAA\nAABRo4UJAAAAiAUtTAAAAAAQGRUIAAAAIBbsRA0AAAAAkZFAAAAAAIgaLUwAAABArNiJGgAAAACG\nRwUCAAAAiJVxOoD4owIBAAAAIGokEAAAAACiRgIBAAAAIGokEAAAAACiRgIBAAAAIGokEAAAAACi\nRgIBAAAAIGokEAAAAACiRgIBAAAAIGrsRA0AAADExEgKOB1E3FGBAAAAABA1EggAAAAAUaOFCQAA\nAIiJkRR0Ooi4owIBAAAAIGokEAAAAACiRgsTAAAAEBNWYQIAAACAiKhAAAAAADFhiBoAAAAAIiKB\nAAAAABA1WpgAAACAmDBEDQAAAAARUYEAAAAAYkIFAgAAAAAiIoEAAAAAEDVamAAAAICYsQ8EAAAA\nAAyLCgQAAAAQE4aoAQAAACAiEggAAAAAUaOFCQAAAIiJEUPUAAAAABABFQgAAAAgJgxRAwAAAEBE\nJBAAAAAAokYLEwAAABAThqgBAAAAICIqEAAAAEBMGKIGAAAAgIhIIAAAAABEjRYmAAAAICYMUQMA\nAABARCQQAAAAAKJGCxMAAAAQE1ZhAgAAAICIqEAAAAAAMWGIGgAAAAAiIoEAAAAAEDVamAAAAICY\nMEQNAAAAABFRgQAAAABixhA1AAAAAAyLBAIAAABA1GhhAgAAAGLCEDUAAAAAREQFAgAAAIgJFQgA\nAAAAiIgEAgAAAEDUaGECAAAAYmLEPhAAAAAAEAEVCAAAACAmDFEDAAAAQEQkEAAAAACiRgsTAAAA\nEBOGqAEAAAAgIhIIAAAAAFGjhQkAAACICaswAQAAAEBEVCAAAACAmDBEDQAAAAARkUAAAAAAiBot\nTAAAAEBMGKIGAAAAgIioQAAAAAAxYYgaAAAAACIigQAAAAAQNVqYAAAAgJgwRA0AAAAAEVGBAAAA\nAGLCEDUAAAAARGQZY5yOAQAAALjqWJa1Q9JEh8NoNsbcHs9vSAIBAAAAIGq0MAEAAACIGgkEAAAA\ngKiRQAAAAACIGgkEAAAAgKiRQAAAAACIGgkEAAAAgKiRQAAAAACIGgkEAAAAgKiRQAAAAACI2v8D\nf/70cON70hQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbefe3a8748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.plot_grid(g, p, figsize=(15, 12))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Consistency test with a known solution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert np.isclose(pp.error.norm_L2(g, p), 0.6041807238769925)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
